The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.
Business and Financial Times on MSN
Measurement precedes prediction (I): Why data is not enough: Measurement as strategic infrastructure
Although most modern organisations possess extensive data, a subtler challenge persists: a lack of understanding regarding ...
Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...
Researchers study house sparrow genetics to understand survival, evolution, and how species respond to environmental change.
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